Research Directions for Principles of Data Management

Serge Abiteboul (1) , Marcelo Arenas (2) , Pablo Barceló (3) , Meghyn Bienvenu (4) , Diego Calvanese (5) , Claire David (6) , Richard Hull (7) , Eyke Hullermeier (8) , Benny Kimelfeld (9) , Leonid Libkin (10) , Wim Martens (11) , Tova Milo (12) , Filip Murlak (13) , Frank Neven (14) , Magdalena Ortiz (15) , Thomas Schwentick (16) , Julia Stoyanovich (17) , Jianwen Su (18) , Dan Suciu (19) , Victor Vianu (20) , Ke Yi (21)

1 LSV - Laboratoire Spécification et Vérification [Cachan]
2 UC - Pontificia Universidad Católica de Chile
3 UCHILE - Universidad de Chile = University of Chile [Santiago]
4 UM - Université de Montpellier
5 Free University of Bozen-Bolzano
6 LIGM - Laboratoire d'Informatique Gaspard-Monge
7 IBM Thomas J. Watson Research Center
8 UPB - Universität Paderborn
9 Technion - Israel Institute of Technology [Haifa]
10 LFCS - Laboratory for the Foundations of Computer Science [Edinburgh]
11 Universität Bayreuth
12 TAU-CS - School of Computer Science
13 Institute of Informatics [Warsaw]
14 School for Information Technology
15 TU Wien - Vienna University of Technology = Technische Universität Wien
16 Lehrstuhl Informatik 1 [Dortmund]
17 Drexel University
18 CS-UCSB - Department of Computer Science [Santa Barbara]
19 University of Washington [Seattle]
20 CSE - UC San Diego - Department of Computer Science and Engineering [Univ California San Diego]
21 CSE - Department of Computer Science and Engineering [HKUST]

The area of Principles of Data Management (PDM) has made crucial contributions to the development of formal frameworks for understanding and managing data and knowledge. This work has involved a rich cross-fertilization between PDM and other disciplines in mathematics and computer science, including logic, complexity theory, and knowledge representation. We anticipate ongoing expansion of PDM research as the technology and applications involving data management continue to grow and evolve. In particular, the lifecycle of Big Data Analytics raises a wealth of challenge areas that PDM can help with. In this report we identify some of the most important research directions where the PDM community has the potential to make significant contributions. This is done from three perspectives: potential practical relevance, results already obtained, and research questions that appear surmountable in the short and medium term.

Mots clés: efficient query processing; query languages; uncertainty; heterogeneous data; query optimization; database theory; principles of data management

Domaines: Base de données [cs.DB]

Serge Abiteboul, Marcelo Arenas, Pablo Barceló, Meghyn Bienvenu, Diego Calvanese, et al.. Research Directions for Principles of Data Management: Manifesto from Dagstuhl Perspectives Workshop 16151. Dagstuhl Manifestos, 2018, 7 (1), pp.1-29. ⟨10.4230/DagMan.7.1.1⟩. ⟨hal-01778196⟩